SELECTED APPLICATIONS OF DEEP NEURAL NETWORKS IN SKIN LESION DIAGNOSTIC
Magdalena Michalska
mmagamichalska@gmail.comLublin University of Technology, Department of Electronics and Information Technology (Poland)
http://orcid.org/0000-0002-0874-3285
Abstract
The article provides an overview of selected applications of deep neural networks in the diagnosis of skin lesions from human dermatoscopic images, including many dermatological diseases, including very dangerous malignant melanoma. The lesion segmentation process, features selection and classification was described. Application examples of binary and multiclass classification are given. The described algorithms have been widely used in the diagnosis of skin lesions. The effectiveness, specificity, and accuracy of classifiers were compared and analysed based on available datasets.
Keywords:
dermatoscopic images, neural networks, melanoma, skin lesionsReferences
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Authors
Magdalena Michalskammagamichalska@gmail.com
Lublin University of Technology, Department of Electronics and Information Technology Poland
http://orcid.org/0000-0002-0874-3285
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